Researchers use descriptive Bayesian network analyses to examine how sediment supply, beach characteristics, and two species of beachgrass alter foredune morphology and patterns of sand accretion on U.S. Pacific Northwest foredunes.
This study addresses the limits of probabilistic flood hazard assessment with the development of an emulator which replaces the simulator with a statistical representation that is able to rapidly predict estuarine variables relevant to flooding.
With this study reserachers present a three program analysis suite that measures baleen whales and compensates for lens distortion and corrects scaling error to produce 11 morphometric attributes from sUAS imagery. The program is freely available.
This research looked at the relative importance of local and regional scales in organizing eelgrass communities and the potential of regional oceanography and trophic interactions in regulating patterns of primary producers in this system.
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